Can you use ChatGPT to build an AI trading bot that actually makes money? We use the newest OpenAI model to generate a custom NinjaTrader indicator, backtest the data, and optimize the strategy for day trading.

In this video, we put the latest ChatGPT model (Astra 6.0) to the test by prompting it to build a custom “AI Super Trend Flip” indicator for NinjaTrader. Without writing a single line of code manually, the indicator compiled perfectly on the first try. We then load August backtesting data for the September ENQ contract and export it to our advanced analytics dashboard to see how this automated trading strategy performs.

Here is what we cover in this walkthrough:
– How to generate and compile the ChatGPT indicator code inside NinjaTrader.
– Essential tips for verifying your indicator drawing logic so signals print correctly on the completed bar without repainting.
– Exporting your historical trading data to the analytic system for automated performance reviews.
– Running multi-variable optimization tests on long and short entries with different target and stop-loss combinations.
– Using the platform leaderboard to filter trade setups by volume, day of the week, and bar body size to find the most profitable strategy.

Limiting your entries based on bar size is a game-changer for avoiding market exhaustion. Watch as we use live data analysis to filter out bad setups and turn a basic indicator into a winning day trading strategy. Whether you are into algo trading, building a custom trading bot, or optimizing your current indicators, this video shows you how to use AI to find a genuine edge in the market.